Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America

Description

LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/

Resources

Name Format Description Link
0 THREDDS OPeNDAP https://cida.usgs.gov/thredds/dodsC/loca_future
0 THREDDS OPeNDAP https://cida.usgs.gov/thredds/dodsC/loca_historical
0 This URL provides a standard THREDDS html interface for selecting data from this dataset. https://cida.usgs.gov/thredds/
55 The metadata original source https://data.doi.gov/harvest/object/f417a6ae-a6d6-4edd-8a9e-56eeb869aacc

Tags

  • precipitation
  • david-blodgett
  • providing-guidance-to-end-users-https-nccwsc-usgs-gov-display-project-4f8c6580e4b0546c0c397-501
  • temperature
  • comparative-analysis-of-downscaled-climate-simulations

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